Genetic diversity of hepatitis B virus quasispecies in different biological compartments reveals distinct genotypes
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Citações na Scopus
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Tipo de produção
article
Data de publicação
2023
Título da Revista
ISSN da Revista
Título do Volume
Editora
NATURE PORTFOLIO
Autores
LAGO, Barbara Vieira do
BEZERRA, Cristianne Sousa
MOREIRA, Daniel Andrade
PARENTE, Thiago Estevam
PORTILHO, Moyra Machado
PESSOA, Rodrigo
VILLAR, Livia Melo
Citação
SCIENTIFIC REPORTS, v.13, n.1, article ID 17023, 10p, 2023
Resumo
The selection pressure imposed by the host immune system impacts hepatitis B virus (HBV) quasispecies variability. This study evaluates HBV genetic diversity in different biological fluids. Twenty paired serum, oral fluid, and DBS samples from chronic HBV carriers were analyzed using both Sanger and next generation sequencing (NGS). The mean HBV viral load in serum was 5.19 +/- 4.3 log IU/mL (median 5.29, IQR 3.01-7.93). Genotype distribution was: HBV/A1 55% (11/20), A2 15% (3/20), D3 10% (2/20), F2 15% (3/20), and F4 5% (1/20). Genotype agreement between serum and oral fluid was 100% (genetic distances 0.0-0.006), while that between serum and DBS was 80% (genetic distances 0.0-0.115). Two individuals presented discordant genotypes in serum and DBS. Minor population analysis revealed a mixed population. All samples displayed mutations in polymerase and/or surface genes. Major population analysis of the polymerase pointed to positions H122 and M129 as the most polymorphic (>= 75% variability), followed by V163 (55%) and I253 (50%). Neither Sanger nor NGS detected any antiviral primary resistance mutations in the major populations. Minor population analysis, however, demonstrated the rtM204I resistance mutation in all individuals, ranging from 2.8 to 7.5% in serum, 2.5 to 6.3% in oral fluid, and 3.6 to 7.2% in DBS. This study demonstrated that different fluids can be used to assess HBV diversity, nonetheless, genotypic differences according to biological compartments can be observed.
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Referências
- Amponsah-Dacosta E, 2016, INFECT GENET EVOL, V43, P232, DOI 10.1016/j.meegid.2016.05.035
- Araujo NM, 2015, INFECT GENET EVOL, V36, P500, DOI 10.1016/j.meegid.2015.08.024
- Astrovskaya I, 2011, BMC BIOINFORMATICS, V12, DOI 10.1186/1471-2105-12-S6-S1
- Bezerra CS, 2022, SCI REP-UK, V12, DOI 10.1038/s41598-022-05264-1
- Bezerra CS, 2021, MICROBIOLOGYOPEN, V10, DOI 10.1002/mbo3.1161
- Bolger AM, 2014, BIOINFORMATICS, V30, P2114, DOI 10.1093/bioinformatics/btu170
- Cao L, 2014, J VIROL, V88, P8656, DOI 10.1128/JVI.01123-14
- Castellano S, 2021, GENES-BASEL, V12, DOI 10.3390/genes12030384
- Cavaretto LSP, 2018, J MED VIROL, V90, P277, DOI 10.1002/jmv.24940
- Coffin CS, 2011, J VIRAL HEPATITIS, V18, P415, DOI 10.1111/j.1365-2893.2010.01321.x
- Datta S, 2009, J VIROL, V83, P9983, DOI 10.1128/JVI.01905-08
- Ewels P, 2016, BIOINFORMATICS, V32, P3047, DOI 10.1093/bioinformatics/btw354
- Chachá SGF, 2017, BRAZ J INFECT DIS, V21, P424, DOI 10.1016/j.bjid.2017.01.011
- Kang YY, 2018, VIRUS RES, V257, P33, DOI 10.1016/j.virusres.2018.08.019
- Knyazev S, 2021, NUCLEIC ACIDS RES, V49, DOI 10.1093/nar/gkab576
- Kramvis A, 2014, INTERVIROLOGY, V57, P141, DOI 10.1159/000360947
- Kumar S, 2016, MOL BIOL EVOL, V33, P1870, DOI [10.1093/molbev/msw054, 10.1093/molbev/msv279]
- Lago BV, 2019, VIRUSES-BASEL, V11, DOI 10.3390/v11090860
- Lago BV, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0105317
- Lampe E, 2017, J GEN VIROL, V98, P1389, DOI 10.1099/jgv.0.000789
- Laura M, 2019, INFECT GENET EVOL, V71, P91, DOI 10.1016/j.meegid.2019.03.020
- Li H, 2009, BIOINFORMATICS, V25, P2078, DOI 10.1093/bioinformatics/btp352
- Li H, 2009, BIOINFORMATICS, V25, P1754, DOI 10.1093/bioinformatics/btp324
- Lin SR, 2021, JHEP REP, V3, DOI 10.1016/j.jhepr.2021.100254
- Ma Q, 2012, J MED VIROL, V84, P198, DOI 10.1002/jmv.23183
- Mallory MA, 2011, J VIROL METHODS, V177, P31, DOI 10.1016/j.jviromet.2011.06.009
- Mello FCA, 2007, BMC MICROBIOL, V7, DOI 10.1186/1471-2180-7-103
- Mina T, 2015, J CLIN VIROL, V71, P93, DOI 10.1016/j.jcv.2015.08.010
- Pessôa R, 2016, PLOS ONE, V11, DOI 10.1371/journal.pone.0152499
- Pessôa R, 2014, PLOS ONE, V9, DOI 10.1371/journal.pone.0093374
- Portilho M, 2017, ORAL DIS, V23, P1072, DOI 10.1111/odi.12692
- Portilho MM, 2021, ARCH VIROL, V166, P2435, DOI 10.1007/s00705-021-05122-x
- Portilho MM, 2018, J VIROL METHODS, V256, P100, DOI 10.1016/j.jviromet.2018.03.001
- Portilho MM, 2012, J MED MICROBIOL, V61, P844, DOI 10.1099/jmm.0.040238-0
- Puche ML, 2016, INVEST CLIN, V57, P38
- Reis LMW, 2011, J MED VIROL, V83, P2103, DOI 10.1002/jmv.22246
- Stirling C, 2010, BMC HEALTH SERV RES, V10, DOI 10.1186/1472-6963-10-122
- Tai DI, 2001, J GASTROENTEROL, V36, P200, DOI 10.1007/s005350170130
- Tarasov A, 2015, BIOINFORMATICS, V31, P2032, DOI 10.1093/bioinformatics/btv098
- Tong SP, 2016, J HEPATOL, V64, pS4, DOI 10.1016/j.jhep.2016.01.027
- Wickham H., 2016, ggplot2: Elegant Graphics for Data Analysis (R package version 3.3.5 ed.), DOI 10.1007/978-3-319-24277-4
- Wolf JM, 2021, INFECT GENET EVOL, V93, DOI 10.1016/j.meegid.2021.104936
- Wu CC, 2010, J GEN VIROL, V91, P483, DOI 10.1099/vir.0.012740-0
- Wu IC, 2018, J BIOMED SCI, V25, DOI 10.1186/s12929-018-0442-4
- Yu DM, 2014, J HEPATOL, V60, P515, DOI 10.1016/j.jhep.2013.11.004